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Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults

This study aimed to develop a predictive equation for basal metabolic rate (BMR) in normal-weight Chinese adults and provide a reference for establishing the national recommended dietary energy intake. A new equation for BMR was derived from a sample of 516 normal-weight Chinese adults (men = 253, w...

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Autores principales: Wang, Xiaojing, Mao, Deqian, Xu, Zechao, Wang, Yongjun, Yang, Xiaoguang, Zhuo, Qin, Tian, Ying, Huan, Yuping, Li, Yajie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574416/
https://www.ncbi.nlm.nih.gov/pubmed/37836469
http://dx.doi.org/10.3390/nu15194185
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author Wang, Xiaojing
Mao, Deqian
Xu, Zechao
Wang, Yongjun
Yang, Xiaoguang
Zhuo, Qin
Tian, Ying
Huan, Yuping
Li, Yajie
author_facet Wang, Xiaojing
Mao, Deqian
Xu, Zechao
Wang, Yongjun
Yang, Xiaoguang
Zhuo, Qin
Tian, Ying
Huan, Yuping
Li, Yajie
author_sort Wang, Xiaojing
collection PubMed
description This study aimed to develop a predictive equation for basal metabolic rate (BMR) in normal-weight Chinese adults and provide a reference for establishing the national recommended dietary energy intake. A new equation for BMR was derived from a sample of 516 normal-weight Chinese adults (men = 253, women = 263), and this sample was collected from two previous studies. Furthermore, the accuracy of this new equation and eight other previous predictive equations was reviewed. The agreement and reliability were compared in terms of bias, accuracy, the intraclass correlation coefficient, and Bland–Altman plots between predictive equations. In addition, the newly developed equation was further verified using a small independent sample, which contained 41 healthy Chinese adults (men = 21, women = 20). The measured BMR (mBMR) of all participants, measured using indirect calorimetry, was 1346.2 ± 358.0 kcal/d. Thirty participants were excluded based on Cook’s distance criteria (Cook’s distance of ≥0.008). Previous equations developed by Henry, Schofield, Harris–Benedict (H-B), Yang, and Hong overestimated the BMR of healthy Chinese adults. The present equation displayed the smallest average bias (0.2 kcal/d) between the mBMR and predicted basal metabolic rate (pBMR). The limits of agreement of the present equation from Bland–Altman plots were −514.3 kcal/d and 513.9 kcal/d, which is the most narrow and balanced limit of agreement. Moreover, in the verification of the testing database, the pBMR of the new equation was not significantly different from the mBMR, and the accuracy was 75.6%. Compared with pre-existing equations, the present equation is more applicable to the prediction of BMR in healthy Chinese adults. However, further studies are required to verify the accuracy of this new equation.
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spelling pubmed-105744162023-10-14 Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults Wang, Xiaojing Mao, Deqian Xu, Zechao Wang, Yongjun Yang, Xiaoguang Zhuo, Qin Tian, Ying Huan, Yuping Li, Yajie Nutrients Article This study aimed to develop a predictive equation for basal metabolic rate (BMR) in normal-weight Chinese adults and provide a reference for establishing the national recommended dietary energy intake. A new equation for BMR was derived from a sample of 516 normal-weight Chinese adults (men = 253, women = 263), and this sample was collected from two previous studies. Furthermore, the accuracy of this new equation and eight other previous predictive equations was reviewed. The agreement and reliability were compared in terms of bias, accuracy, the intraclass correlation coefficient, and Bland–Altman plots between predictive equations. In addition, the newly developed equation was further verified using a small independent sample, which contained 41 healthy Chinese adults (men = 21, women = 20). The measured BMR (mBMR) of all participants, measured using indirect calorimetry, was 1346.2 ± 358.0 kcal/d. Thirty participants were excluded based on Cook’s distance criteria (Cook’s distance of ≥0.008). Previous equations developed by Henry, Schofield, Harris–Benedict (H-B), Yang, and Hong overestimated the BMR of healthy Chinese adults. The present equation displayed the smallest average bias (0.2 kcal/d) between the mBMR and predicted basal metabolic rate (pBMR). The limits of agreement of the present equation from Bland–Altman plots were −514.3 kcal/d and 513.9 kcal/d, which is the most narrow and balanced limit of agreement. Moreover, in the verification of the testing database, the pBMR of the new equation was not significantly different from the mBMR, and the accuracy was 75.6%. Compared with pre-existing equations, the present equation is more applicable to the prediction of BMR in healthy Chinese adults. However, further studies are required to verify the accuracy of this new equation. MDPI 2023-09-27 /pmc/articles/PMC10574416/ /pubmed/37836469 http://dx.doi.org/10.3390/nu15194185 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Xiaojing
Mao, Deqian
Xu, Zechao
Wang, Yongjun
Yang, Xiaoguang
Zhuo, Qin
Tian, Ying
Huan, Yuping
Li, Yajie
Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults
title Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults
title_full Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults
title_fullStr Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults
title_full_unstemmed Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults
title_short Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults
title_sort predictive equation for basal metabolic rate in normal-weight chinese adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574416/
https://www.ncbi.nlm.nih.gov/pubmed/37836469
http://dx.doi.org/10.3390/nu15194185
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